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Using Functional Linkage Gene Networks to Study Human Diseases

Using Functional Linkage Gene Networks to Study Human Diseases

Bolan Linghu, Guohui Liu, Yu Xia
Copyright: © 2011 |Pages: 19
ISBN13: 9781609604912|ISBN10: 1609604911|EISBN13: 9781609604929
DOI: 10.4018/978-1-60960-491-2.ch012
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MLA

Linghu, Bolan, et al. "Using Functional Linkage Gene Networks to Study Human Diseases." Handbook of Research on Computational and Systems Biology: Interdisciplinary Applications, edited by Limin Angela Liu, et al., IGI Global, 2011, pp. 275-293. https://doi.org/10.4018/978-1-60960-491-2.ch012

APA

Linghu, B., Liu, G., & Xia, Y. (2011). Using Functional Linkage Gene Networks to Study Human Diseases. In L. Liu, D. Wei, Y. Li, & H. Lei (Eds.), Handbook of Research on Computational and Systems Biology: Interdisciplinary Applications (pp. 275-293). IGI Global. https://doi.org/10.4018/978-1-60960-491-2.ch012

Chicago

Linghu, Bolan, Guohui Liu, and Yu Xia. "Using Functional Linkage Gene Networks to Study Human Diseases." In Handbook of Research on Computational and Systems Biology: Interdisciplinary Applications, edited by Limin Angela Liu, et al., 275-293. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-491-2.ch012

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Abstract

A major challenge in the post-genomic era is to understand the specific cellular functions of individual genes and how dysfunctions of these genes lead to different diseases. As an emerging area of systems biology, gene networks have been used to shed light on gene function and human disease. In this chapter, first the existence of functional association for genes working in a common biological process or implicated in a common disease is demonstrated. Next, approaches to construct the functional linkage gene network (FLN) based on genomic and proteomic data integration are reviewed. Finally, two FLN-based applications related to diseases are reviewed: prediction of new disease genes and therapeutic targets, and identification of disease-disease associations at the molecular level. Both of these applications bring new insights into the molecular mechanisms of diseases, and provide new opportunities for drug discovery.

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